Abstract
Diffusion approximation to the generalized Stein’s neuronal model which includes exponential decay, random excitation and inhibition and synaptic reversal potential is investigated. Using the weak convergence of probability measures the non-Gaussian diffusion model is derived.
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© 1988 Academia, Publishing House of the Czechoslovak Academy of Sciences, Prague
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Lánská, V. (1988). On the Diffusion Approximation of the Generalized Stein’s Neuronal Model with Synaptic Reversal Potentials. In: Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes. Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes, vol 10A-B. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-9913-4_12
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DOI: https://doi.org/10.1007/978-94-010-9913-4_12
Publisher Name: Springer, Dordrecht
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